The three gaps that are first exposed when AI products are released to the production environment!

observability gap, evaluation gap, accounting gap.

Observability gap: You cannot see what is happening inside the system after it goes online.

Evaluation gap: No metrics and data sets to continuously measure success.

Accountability gap: After a problem occurs, it is impossible to determine whether the responsibility falls on the model, data, tools, prompts, permissions, or business processes.

These three gaps are very suitable for the first round of physical examination of enterprise AI projects.

Many systems talk about model capabilities on the surface, but what they actually lack is the basic visibility and responsibility boundaries of the production system.

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Mermaid outline

flowchart LR
  format-long_post["longform note"]
  topic-harness-engineering["harness engineering"]
  topic-evaluation["evaluation"]
  topic-tooling["tooling"]
  capability-evaluation["evaluation"]
  capability-product-surface["product surface"]
  market-open-source-builders["open-source builders"]
  format-long_post -->|covers| topic-harness-engineering
  format-long_post -->|covers| topic-evaluation
  format-long_post -->|covers| topic-tooling
  format-long_post -->|signals| capability-evaluation
  format-long_post -->|signals| capability-product-surface
  format-long_post -->|signals| market-open-source-builders

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Mermaid outline

flowchart LR
  thesis["The three gaps that are first exposed when AI products are released to the production environment! observab..."]
  signal["The three gaps that are first exposed when AI products are released to the production environment!"]
  operator["Evaluation gap: No metrics and data sets to continuously measure success."]
  implication["Many systems talk about model capabilities on the surface, but what they actually lack is the basic visibil..."]
  thesis -->|frames| signal
  signal -->|develops| operator
  operator -->|lands in| implication

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